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ORDs Environmental Monitoring and Assessment Program EMAP

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... for BIBI 3, FIBI 3), chemical and physical measurements taken, land cover data available ... 54% of 1st order stream miles are impaired (BIBI 3) ... – PowerPoint PPT presentation

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Title: ORDs Environmental Monitoring and Assessment Program EMAP


1
ORDs Environmental Monitoring and Assessment
Program (EMAP)
Sound Science for Measuring Ecological Condition

www.epa.gov/emap
2
Key EPA Monitoring Questions
  • What are the current conditions of our
    ecosystems?
  • Where are the conditions
    improving or declining?
  • What stresses are associated
    with declines?
  • Are our management
    programs and policies
    working?

3
Whats at Stake?
  • gt1B/y spent on monitoring
  • Condition of estuaries, coastlines, streams,
    rivers, wetlands and lakes are still unknown.
  • Effectiveness of protection and restoration
    programs and policies are often unknown

4
GOALS of EMAP
  • Develop the scientific basis for consistent,
    unbiased, cost-effective measurement of the
    condition of the Nations aquatic ecosystems
  • Status
  • Trends
  • Build state and tribal capacity for
    monitoring condition and
    transfer our technology
  • Make data generally available to all stakeholders
    (STORET)

5
States conduct Probability survey With suite of
indicators
Integrated Monitoring
Condition
Associated Stressors
305(b) Reports
Comparison of of Expected 303(d) Sites to
known sites
Non-point Source
Point Source
lt or gt

State of the Environment Reports
Likelihood Criteria
Dose - Response
Probability of Impairment Assessment Models
Accept State 303(d) list
Standards
303(d) List
Waterbody has low Probability of Impairment
Waterbody has Moderate Probability of impairment
Waterbody has high Probability of Impairment
Diagnosis
Intensive sampling to confirm impairment
No additional Sampling (continue to Monitor as
part of 5-year cycle)
De-list
TMDL Development
Waterbody Impairment Confirmed
Waterbody Not impaired
Remediation
6
Science Behind the Scenes
Designs

Analysis
Data
Field Sampling
Variable Density Approaches
Training
Partnerships
Population Identification
7
CWA Resource Monitoring Needs
Great Lakes
Lakes
Wetlands
Resource Areas
Large Rivers
Streams
Coastal
R-EMAP/Small Scale Tests
Regional Demonstration
National Demonstration
Implementation
National Implementation
Design
Reference Conditions
Nationally Consistent Design
Indicators
Classification Strata
Land cover/use
Science Barriers
8
EMAP Extramural Research Areas
GRI
STAR Grants
Western Pilot
R-EMAP
Coastal Initiative
  • Coastal Initiative 60 to State Co-ops
  • Western Pilot 60 to State Co-ops
  • GRI 60 to State and other Co-ops
  • R-EMAP 100 to EPA Regions
  • STAR 100 to Academic Research Institutions

9
EMAP Design Approach
  • Probabilistic Design Framework Randomized
    statistical designs that allow interpretation of
    monitoring data with known uncertainty,
    extrapolation to the entire population of
    interest with a small sample size, and the
    ability to statistically aggregate similar data
    to larger geographic areas
  • Classification - meaningful groupings within
    resource types and/or ecosystem types to allow
    better statistical design and analysis
  • Biological Indicators - Direct measures of
    aquatic ecosystem condition, integrates
    stressors, and the public can relate to them
  • Streams, rivers, estuaries, lakes, reservoirs,
    wetlands

10
Probabilistic Survey Design Advantages
  • Representative and allows inference to system of
    interest
  • Adaptable to resource characteristics
  • Adjusts sample sizes to meet precision
    requirements
  • Adaptable to temporal and spatial scales of
    interest
  • Unbiased
  • Cost-effective

Condition of streams
11
EMAP Uses Biological Indicators
  • Historic Aquatic Indicators Measured
    physical/chemical characteristics and related
    them to the biological condition of an aquatic
    system
  • Aquatic Biological Indicators Direct measure of
    condition of aquatic ecosystem, integrates
    stressors, and the public can relate

12
Effectiveness of Design
  • Eutrophication of NE US lakes
  • 4219 mostly problem lakes sampled by states for
    305(b)
  • 2756 non-random lakes censused (Rohm et al.
    1995)
  • 344 lakes with EMAP probability design (11,076
    lakes total)
  • Alabama reduced the cost of estuarine monitoring
    by 33, and can now report on all estuarine
    waters

13
Stream Conditions in MAHA
14
Estuarine Conditions
15
Statistical Change Detection
  • Change in Percent Area of Chesapeake Bay with
    Impaired Benthic Community

50

40
30
area with impaired benthos
20
10
0
1991-93
1997-98
16
EMAP National Demonstrations
  • Estuaries All 24 marine coastal states
    monitoring with core EMAP design and indicators
  • Streams Mid-Atlantic States and 12 Western
    States
  • Great Rivers Mississippi River Basin

17
States conduct Probability survey With suite of
indicators
Integrated Monitoring and Assessment
1
Condition
2
3
5
8
Associated Stressors
305(b) Reports
Comparison of of Expected 303(d) Sites to
known sites
Non-point Source
Point Source
4
lt or gt

State of the Environment Reports
6,7
9,10
Dose - Response
Thresholds of Impairment
Probability of Impairment Assessment Models (2
levels)
Accept State 303(d) list
Standards
10
10
10
303(d) List
Waterbody has low Probability of Impairment
Waterbody has Moderate Probability of impairment
Waterbody has high Probability of Impairment
10
Diagnosis
Intensive sampling to confirm impairment
10
No additional Sampling (continue to Monitor as
part of 5-year cycle)
De-list
TMDL Development
Waterbody Impairment Confirmed
Waterbody Not impaired
10
Remediation
18
1
Example of Integrated Monitoring and Assessment
with Maryland Biological Stream Survey
Data MBSS probability survey for benthic IBI
and fish IBI measures of stream condition
(impairment for BIBI lt 3, FIBI lt 3), chemical
and physical measurements taken, land cover data
available Analysis cumulative distribution
functions (cdfs) conditional probabilities con
ditional cdfs
19
2
Condition of Streams in Maryland 54 of 1st
order stream miles are impaired (BIBI lt 3) 40
of 2nd order stream miles are impaired (BIBI lt
3) 47 of 1st order stream miles are impaired
(FIBI lt 3) 24 of 2nd order stream miles are
impaired (FIBI lt 3)
20
3
21
4
22
Associated Stressors
5
23
Thresholds of Impairment
6
MBSS-derived thresholds of impairment pH lt 5
ANC lt 200 µeq/l Nitrate-nitrogen gt 2 mg/l DO
lt 5 ppm Sulfate gt 24 mg/l DOC gt 8.0
ppm Conditional probability thresholds of
impairment 1st order steams DO lt 5, DO gt
12 pH lt 6, pH gt 8 NO3 lt 5, lt15 SO4 lt
40-50 Temp lt5, temp gt 25 Hilsenoff lt1,
Hilsenhoff gt 6 2nd order steams DO lt 3, DO gt
11 pH lt 5, pH gt 8.5 NO3 lt ? SO4 lt
75 Temp lt10, temp gt 28 Hilsenoff lt2,
7
24
7
Percent Fines in Substrate
25
Impaired Streams in Maryland
8
8800 stream miles stream miles in MD 66 1st
order - 5808 17 2nd order
7304 miles in 1st and 2nd order streams
3725 miles of 1st and 2nd order streams should
be on 303(d) List based on benthic impairment
26
Probability of Impairment Models
9
Combine condition information with land cover
data to predict probability of impairment
Agriculture on gt3 Slopes
Spatial Models for Probability of Impairment
10
27
Probability of Stream Benthic Impairment for
Exceeding Levels of Catchment Urbanization
10
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